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Head-to-head comparison

Laguna S 2.1 vs Relace Apply 3

Laguna S 2.1 (Poolside) and Relace Apply 3 (Relace) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 17 August 2026

As of 17 August 2026, Laguna S 2.1 holds the stronger ModelCap Index position (#152 vs #154); Laguna S 2.1 is 6.9× cheaper per output token ($0.18/1M vs $1.25/1M); and Laguna S 2.1 offers the longer context window (1M vs 256K tokens).

Which should you choose?

Choose Laguna S 2.1 if…

  • you want the stronger overall ModelCap Index position — #152 against #154 (22.5 vs 22.5 points).
  • API cost matters — $0.18/1M output tokens against $1.25/1M, about 6.9× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.09/1M against $0.85/1M.
  • you need the longer context window — 1M tokens against 256K.
  • you want the more recently listed model — Laguna S 2.1 was listed 21 July 2026, Relace Apply 3 26 September 2025.

Choose Relace Apply 3 if…

  • ModelCap publishes no field on which Relace Apply 3 leads Laguna S 2.1 for this pair.

Laguna S 2.1 vs Relace Apply 3: specs, pricing and context

Specification comparison of Laguna S 2.1 and Relace Apply 3
FieldLaguna S 2.1PoolsideRelace Apply 3Relace
ModelCap Index position#152#154
Index score22.522.5
EvidenceEstimatedEstimated
Input price / 1M tokens$0.09$0.85
Output price / 1M tokens$0.18$1.25
Context window1M tokens256K tokens
Max output tokens131K128K
API providers listed11
Weight accessRestricted licenseAPI only
Input modalitiesTextText
First listed21 July 202626 September 2025
PublisherPoolsideRelace

Evidence: global corpus prior · leave-one-anchor-out calibrated · global corpus prior · leave-one-anchor-out calibrated. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Laguna S 2.1 vs Relace Apply 3

Neither model has a published result on a public benchmark board ModelCap tracks yet.

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Laguna S 2.1 vs Relace Apply 3: common questions

Is Laguna S 2.1 better than Relace Apply 3?

Laguna S 2.1 ranks higher on the ModelCap Index as of 17 August 2026: #152 against #154. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is Laguna S 2.1 cheaper than Relace Apply 3?

Laguna S 2.1 is cheaper on output tokens: $0.18/1M against $1.25/1M. Input tokens are $0.09/1M for Laguna S 2.1 and $0.85/1M for Relace Apply 3. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Laguna S 2.1 or Relace Apply 3?

Laguna S 2.1 has the larger context window: 1M tokens against 256K.

Which is better for coding, Laguna S 2.1 or Relace Apply 3?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Laguna S 2.1 and Relace Apply 3 open-weight models?

Laguna S 2.1: Restricted license. Relace Apply 3: API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Laguna S 2.1 and Relace Apply 3?

ModelCap currently lists 1 API provider for Laguna S 2.1 and 1 for Relace Apply 3, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Laguna S 2.1 vs Relace Apply 3 comparison?

Every figure comes from the sealed ModelCap dataset published 17 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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